唐翼琨，大连理工大学计算机科学与技术学院助理教授。2016年本科毕业于北京理工大学计算机学院，2024年博士毕业于北京理工大学计算机学院，师从黄河燕教授。曾获得徐特立奖学金（北京理工大学最高荣誉），2022年入选“腾讯犀牛鸟精英人才计划”，荣获“腾讯犀牛鸟精英人才”称号。主要研究方向为自然语言处理、文本挖掘、主题模型等，在IPM、WWW等国际期刊和会议上发表论文十余篇。

拟招收2025年硕士研究生及对NLP、数据挖掘等领域感兴趣的本科生，欢迎同学们与我联系：tangyk@dlut.edu.cn。

已发表的主要论文：

[1] Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xian-Ling Mao: Bridging insight gaps in topic dependency discovery with a knowledge-inspired topic model. Information Processing & Management. 62(1): 103911 (2025) （中科院一区top）

[2] Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xian-Ling Mao: Beyond Labels and Topics: Discovering Causal Relationships in Neural Topic Modeling. WWW 2024: 4460-4469（CCF A类会议）

[3] Heyan Huang（导师）, Yi-Kun Tang, Xuewen Shi, Xian-Ling Mao: Dependency-Aware Neural Topic Model. Information Processing & Management. 61(1): 103530 (2024) （中科院一区top）

[4] Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xian-Ling Mao: Neural Variational Gaussian Mixture Topic Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(4): 110:1-110:18 (2023)（CCF C类期刊，SCI）

[5] Yi-Kun Tang, Xianling Mao, Heyan Huang: Labeled Phrase Latent Dirichlet Allocation and its online learning algorithm. Data Min. Knowl. Discov. 32(4): 885-912 (2018)（CCF B类期刊）

[6] Yi-Kun Tang, Xianling Mao, Heyan Huang, Xuewen Shi, Guihua Wen: Conceptualization topic modeling. Multim. Tools Appl. 77(3): 3455-3471 (2018)（SCI）

[7] Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xianling Mao: Picture News Collection: A Dataset for Automatic Picture News Thumbnail Selection. WISE 2019: 458-472（CCF C类会议）

[8] Yi-Kun Tang, Xianling Mao, Heyan Huang: Labeled Phrase Latent Dirichlet Allocation. WISE (1) 2016: 525-536（CCF C类会议）

[9] Yi-Kun Tang, Xianling Mao, Yi-Jing Hao, Cheng Xu, Heyan Huang: Locality-Sensitive Hashing for Finding Nearest Neighbors in Probability Distributions. SMP 2017: 3-15

[10] Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang: Improving neural machine translation with sentence alignment learning. Neurocomputing 420: 15-26 (2021)（中科院二区top）

[11] Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang: Approximating to the Real Translation Quality for Neural Machine Translation via Causal Motivated Methods. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 126:1-126:26 (2023)（CCF C类期刊，SCI）

[12] Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang: Reducing Length Bias in Scoring Neural Machine Translation via a Causal Inference Method. CCL 2021: 3-15（最佳英文论文奖）

[13] Xuewen Shi, Heyan Huang, Wenguan Wang, Ping Jian, Yi-Kun Tang: Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning. CoNLL 2019: 260-270（CCF C类会议）

[14] Xuewen Shi, Heyan Huang, Shuyang Zhao, Ping Jian, Yi-Kun Tang: Tag Recommendation by Word-Level Tag Sequence Modeling. DASFAA (3) 2019: 420-424（CCF B类会议）

[15] Xuewen Shi, Heyan Huang, Ping Jian, Yuhang Guo, Xiaochi Wei, Yi-Kun Tang: Neural Chinese Word Segmentation as Sequence to Sequence Translation. SMP 2017: 91-103

已授权的国家发明专利：

[1] 黄河燕，唐翼琨，史学文，毛先领，一种基于词组的概念化主题建模方法, 授权号： CN202010178856.3

[2] 毛先领，唐翼琨，史学文，黄河燕，一种基于深度注意力机制的图片新闻封面自动选择方法, 授权号： CN201811123947.6

科技获奖：

2018年获中国电子学会科学技术奖科技进步一等奖

主要社会兼职：

担任IPM、ACL、EMNLP、COLING、CCL、CCKS等国内外顶级期刊和学术会议的审稿人。